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222 lines
8.2 KiB
Fortran
222 lines
8.2 KiB
Fortran
!
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!
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! MLD2P4 version 2.1
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! MultiLevel Domain Decomposition Parallel Preconditioners Package
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! based on PSBLAS (Parallel Sparse BLAS version 3.4)
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!
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! (C) Copyright 2008, 2010, 2012, 2015, 2017
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!
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! Salvatore Filippone Cranfield University
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! Ambra Abdullahi Hassan University of Rome Tor Vergata
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! Alfredo Buttari CNRS-IRIT, Toulouse
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! Pasqua D'Ambra ICAR-CNR, Naples
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! Daniela di Serafino University of Campania "L. Vanvitelli", Caserta
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!
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! Redistribution and use in source and binary forms, with or without
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! modification, are permitted provided that the following conditions
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! are met:
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! 1. Redistributions of source code must retain the above copyright
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! notice, this list of conditions and the following disclaimer.
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! 2. Redistributions in binary form must reproduce the above copyright
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! notice, this list of conditions, and the following disclaimer in the
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! documentation and/or other materials provided with the distribution.
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! 3. The name of the MLD2P4 group or the names of its contributors may
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! not be used to endorse or promote products derived from this
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! software without specific written permission.
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!
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! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
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! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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! POSSIBILITY OF SUCH DAMAGE.
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!
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!
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! File: mld_cprecinit.f90
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!
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! Subroutine: mld_cprecinit
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! Version: complex
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!
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! This routine allocates and initializes the preconditioner data structure,
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! according to the preconditioner type chosen by the user.
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!
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! A default preconditioner is set for each preconditioner type
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! specified by the user:
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!
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! 'NOPREC' - no preconditioner
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!
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! 'DIAG' - diagonal preconditioner
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!
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! 'PJAC' - point Jacobi preconditioner
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!
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! 'BJAC' - block Jacobi preconditioner, with ILU(0)
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! on the local blocks
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!
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! 'AS' - Restricted Additive Schwarz (RAS), with
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! overlap 1 and ILU(0) on the local submatrices
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!
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! 'ML' - Multilevel hybrid preconditioner (additive on the
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! same level and multiplicative through the levels),
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! with 2 levels, pre and post-smoothing, RAS with
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! overlap 1 and ILU(0) on the local blocks is
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! applied as post-smoother at each level, but the
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! coarsest one; four sweeps of the block-Jacobi solver,
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! with LU from UMFPACK on the blocks, are applied at
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! the coarsest level, on the distributed coarse matrix.
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! The smoothed aggregation algorithm with threshold 0
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! is used to build the coarse matrix.
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!
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! For the multilevel preconditioners, the levels are numbered in increasing
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! order starting from the finest one, i.e. level 1 is the finest level.
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!
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!
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! Arguments:
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! p - type(mld_cprec_type), input/output.
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! The preconditioner data structure.
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! ptype - character(len=*), input.
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! The type of preconditioner. Its values are 'NOPREC',
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! 'DIAG', 'BJAC', 'AS', 'ML' (and the corresponding
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! lowercase strings).
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! info - integer, output.
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! Error code.
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! nlev - integer, optional, input.
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! The number of levels of the multilevel preconditioner.
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! If nlev is not present and ptype='ML', then nlev=2
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! is assumed. If ptype /= 'ML', nlev is ignored.
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!
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subroutine mld_cprecinit(p,ptype,info,nlev)
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use psb_base_mod
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use mld_c_prec_mod, mld_protect_name => mld_cprecinit
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use mld_c_jac_smoother
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use mld_c_as_smoother
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use mld_c_id_solver
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use mld_c_diag_solver
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use mld_c_ilu_solver
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#if defined(HAVE_SLU_)
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use mld_c_slu_solver
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#endif
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implicit none
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! Arguments
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type(mld_cprec_type), intent(inout) :: p
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character(len=*), intent(in) :: ptype
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integer(psb_ipk_), intent(out) :: info
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integer(psb_ipk_), optional, intent(in) :: nlev
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! Local variables
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integer(psb_ipk_) :: nlev_, ilev_
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real(psb_spk_) :: thr, scale
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character(len=*), parameter :: name='mld_precinit'
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info = psb_success_
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if (allocated(p%precv)) then
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call mld_precfree(p,info)
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if (info /= psb_success_) then
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! Do we want to do something?
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endif
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endif
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p%coarse_aggr_size = -1
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select case(psb_toupper(ptype(1:len_trim(ptype))))
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case ('NOPREC','NONE')
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nlev_ = 1
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ilev_ = 1
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allocate(p%precv(nlev_),stat=info)
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allocate(mld_c_base_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_id_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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case ('JAC','DIAG','JACOBI')
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nlev_ = 1
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ilev_ = 1
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allocate(p%precv(nlev_),stat=info)
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allocate(mld_c_jac_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_diag_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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case ('BJAC')
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nlev_ = 1
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ilev_ = 1
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allocate(p%precv(nlev_),stat=info)
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allocate(mld_c_jac_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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case ('AS')
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nlev_ = 1
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ilev_ = 1
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allocate(p%precv(nlev_),stat=info)
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allocate(mld_c_as_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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case ('ML')
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if (present(nlev)) then
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nlev_ = max(1,nlev)
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p%max_prec_levs = nlev_
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else
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nlev_ = p%max_prec_levs
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end if
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ilev_ = 1
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allocate(p%precv(nlev_),stat=info)
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allocate(mld_c_as_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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if (nlev_ == 1) return
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do ilev_ = 2, nlev_ -1
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allocate(mld_c_as_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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allocate(mld_c_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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call p%precv(ilev_)%default()
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end do
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ilev_ = nlev_
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allocate(mld_c_jac_smoother_type :: p%precv(ilev_)%sm, stat=info)
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if (info /= psb_success_) return
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#if defined(HAVE_SLU_)
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allocate(mld_c_slu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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#else
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allocate(mld_c_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info)
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#endif
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call p%precv(ilev_)%default()
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p%precv(ilev_)%parms%coarse_solve = mld_bjac_
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call p%precv(ilev_)%set(mld_smoother_sweeps_,4_psb_ipk_,info)
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call p%precv(ilev_)%set(mld_sub_restr_,psb_none_,info)
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call p%precv(ilev_)%set(mld_sub_prol_,psb_none_,info)
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call p%precv(ilev_)%set(mld_sub_ovr_,izero,info)
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thr = 0.05_psb_spk_
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scale = 1.0_psb_spk_
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do ilev_=1,nlev_
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call p%precv(ilev_)%set(mld_aggr_thresh_,thr,info)
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call p%precv(ilev_)%set(mld_aggr_scale_,scale,info)
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call p%precv(ilev_)%set(mld_aggr_filter_,mld_filter_mat_,info)
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end do
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case default
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write(psb_err_unit,*) name,&
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&': Warning: Unknown preconditioner type request "',ptype,'"'
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info = psb_err_pivot_too_small_
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end select
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end subroutine mld_cprecinit
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